class_docstr: A wrapper class for openai client.
code: def instantiate(
      cls,
      template: Optional[Union[str, Callable[[Dict[str, Any]], str]]],
      context: Optional[Dict[str, Any]] = None,
      allow_format_str_template: Optional[bool] = False,
  ) -> Optional[str]:
      if not context or template is None:
          return template  # type: ignore [return-value]
      if isinstance(template, str):
          return (
              template.format(**context)
              if allow_format_str_template
              else template
          )
      return template(context)
  
imports: from __future__ import annotations
  import os
  import sys
  from typing import Any, List, Optional, Dict, Callable, Tuple, Union
  import logging
  import inspect
  from flaml.automl.logger import logger_formatter
  from pydantic import BaseModel
  from autogen.oai import completion
  from autogen.oai.openai_utils import DEFAULT_AZURE_API_VERSION, get_key, OAI_PRICE1K
  from autogen.token_count_utils import count_token
  from autogen._pydantic import model_dump
label_desc: Use image node_id 5 for calling the OpenAIWrapper obj's underlying member method code with example usage: obj.instantiate(cls, template, context, allow_format_str_template) and returns: template, template, unknown